The new projects will use DOE\u2019s leadership-class supercomputers to pursue transformational advances in science and engineering.<\/p>\n\n\n\n
The U.S. Department of Energy\u2019s (DOE) Office of Science announced allocations of supercomputer access to 56 high-impact computational science projects for 2023 through its Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program<\/a>. These awards, which will pursue transformational advances in science and engineering, account for 60% of the available time on the leadership-class supercomputers at DOE\u2019s Argonne and Oak Ridge national laboratories.<\/p>\n\n\n\n The projects will support a broad range of large-scale research campaigns to advance knowledge in areas ranging from astrophysics to sustainable energy technologies to materials design and discovery.<\/p>\n\n\n\n Jointly managed by the Argonne Leadership Computing Facility (ALCF)<\/a> and the Oak Ridge Leadership Computing Facility (OLCF)<\/a>, the INCITE program is the primary means by which the facilities fulfill their mission to advance open science by providing the scientific community with access to their powerful supercomputing resources. The ALCF and OLCF are DOE Office of Science user facilities.<\/p>\n\n\n\n The ALCF\u2019s systems include Theta, a 16-petaflop Cray XC40 system bolstered by NVIDIA A100 GPUs, and Polaris, a 44-petaflop HPE Apollo 6500 Gen10+ system that will give scientists and application developers a platform to test and optimize codes for Aurora, Argonne\u2019s upcoming Intel-HPE exascale supercomputer.<\/p>\n\n\n\n This year\u2019s INCITE awards are notable for including the first allocations on Frontier, the OLCF\u2019s flagship HPE Cray EX system, which debuted in May as the world\u2019s fastest supercomputer<\/a> with 1.1 exaflops of performance and a theoretical peak performance of 2 exaflops. OLCF also offers users allocations on Summit, a 200-petaflop IBM AC922 machine.<\/p>\n\n\n\n \u201cThis is an exceptionally important year for us. Users now have access to a machine nearly ten times as powerful as our previous flagship system, opening up avenues throughout the whole of science that were until now completely inaccessible,\u201d said Gina Tourassi, director of the National Center for Computational Sciences, which houses the OLCF. \u200b\u201cBe it neuroscience or fluid dynamics, quantum mechanics or climate modeling, astrophysics or drug discovery, with exascale we can elucidate and solve an entirely new realm of problems.\u201d<\/p>\n\n\n\n Open to any researcher or research organization in the world with a computationally intensive project, INCITE\u2019s application process is highly competitive. Over a four-month period, INCITE proposals are assessed by peer-review panels composed of international experts, with each panel representing a different scientific discipline. The proposals are also evaluated on a technical level by each computing facility for computational readiness and the scalability of the project\u2019s code and its algorithms. The INCITE awards committee makes its final selections based on these recommendations. This year, the committee received 97 total proposals with researchers requesting more than 102 million node-hours across all four systems.<\/p>\n\n\n\n \u201cThese projects promise to represent the scientific community at its best,\u201d said Michael E. Papka, director of the Argonne Leadership Computing Facility. \u200b\u201cThe breadth of scientific discipline and diversity of method this year\u2019s allocations encompass \u2014 not to mention the dedicated researchers whose efforts will propel this work \u2014 demonstrate the power and potential of leadership computing systems to accelerate discovery as we transition into the exascale era, evolving data science, artificial intelligence, simulation, and their intersections to ever greater capability and impact.\u201d<\/p>\n\n\n\n Highlights of the 2023 allocations include:<\/p>\n\n\n\n For details on all of the 2023 INCITE awardees, view the project fact sheets.<\/a><\/p>\n\n\n\n The Argonne Leadership Computing Facility<\/strong> provides supercomputing capabilities to the scientific and engineering community to advance fundamental discovery and understanding in a broad range of disciplines. Supported by the U.S. Department of Energy\u2019s (DOE\u2019s) Office of Science, Advanced Scientific Computing Research (ASCR) program, the ALCF is one of two DOE Leadership Computing Facilities in the nation dedicated to open science.<\/small><\/p>\n\n\n\n Argonne National Laboratory<\/strong> seeks solutions to pressing national problems in science and technology. The nation\u2019s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America\u2019s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC<\/a> for the U.S. Department of Energy\u2019s Office of Science<\/a>.<\/small><\/p>\n\n\n\n The U.S. Department of Energy\u2019s Office of Science<\/strong> is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit https:\/\/\u200bener\u200bgy\u200b.gov\/\u200bs\u200bc\u200bience<\/a>.<\/small><\/p>\n","protected":false},"excerpt":{"rendered":" The new projects will use\u00a0DOE\u2019s leadership-class supercomputers to pursue transformational advances in science and engineering.<\/p>\n","protected":false},"author":31,"featured_media":802,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-356","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"_links":{"self":[{"href":"https:\/\/wordpress.cels.anl.gov\/sc24\/wp-json\/wp\/v2\/posts\/356","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress.cels.anl.gov\/sc24\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress.cels.anl.gov\/sc24\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress.cels.anl.gov\/sc24\/wp-json\/wp\/v2\/users\/31"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress.cels.anl.gov\/sc24\/wp-json\/wp\/v2\/comments?post=356"}],"version-history":[{"count":7,"href":"https:\/\/wordpress.cels.anl.gov\/sc24\/wp-json\/wp\/v2\/posts\/356\/revisions"}],"predecessor-version":[{"id":949,"href":"https:\/\/wordpress.cels.anl.gov\/sc24\/wp-json\/wp\/v2\/posts\/356\/revisions\/949"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress.cels.anl.gov\/sc24\/wp-json\/wp\/v2\/media\/802"}],"wp:attachment":[{"href":"https:\/\/wordpress.cels.anl.gov\/sc24\/wp-json\/wp\/v2\/media?parent=356"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress.cels.anl.gov\/sc24\/wp-json\/wp\/v2\/categories?post=356"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress.cels.anl.gov\/sc24\/wp-json\/wp\/v2\/tags?post=356"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n